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arXiv 2201.08010math.PR
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从属柱形布朗噪声驱动下随机非线性热方程与波动方程的重整化

Renormalization of stochastic nonlinear heat and wave equations driven by subordinate cylindrical Brownian noises

Hirotatsu Nagoji

AI总结:

本文研究二维环面上从属柱形布朗噪声驱动的随机非线性热、波动方程,通过重整化构造解,证明热方程仅二次非线性下局部适定且解无时间连续性,波动方程在一般多项式非线性下局部适定且解有时间连续性。

摘要:

本文研究二维环面上由从属柱形布朗噪声驱动的随机非线性热方程(SNLH)与随机非线性波动方程(SNLW),该噪声定义为从属非降右连左极(cadlag)随机过程的柱形布朗运动的时间导数。为构造解,我们引入了合适的重整化方法。对于SNLH,由于噪声为跳跃型,无法期望解具有时间连续性;此外,受解的时间可积性较低限制,我们仅能得到二次非线性项下SNLH的局部适定性结果。另一方面,SNLW的解具有时间连续性,且我们可证明一般多项式非线性项下的局部适定性。通过该例子可见,在跳跃型奇异噪声情形下,热方程情形的表现差于波动方程情形。

英文摘要:

In this paper, we study the stochastic nonlinear heat equations (SNLH) and stochastic nonlinear wave equations (SNLW) on two-dimensional torus driven by a subordinate cylindrical Brownian noise, which we define by the time-derivative of a cylindrical Brownian motion subordinated to a nondecreasing cadlag stochastic process. To construct the solution, we introduce a suitable renormalization. For SNLH, we cannot expect the time-continuity for the solutions because the noise is jump-type. Moreover, due to the low time-integrability of the solutions, we could establish a local well-posedness result for SNLH only with a quadratic nonlinearity. On the other hand, for SNLW, the solutions have time-continuity and we can show the local well-posedness for general polynomial nonlinearities. Through this example, we can see that the heat case behaves worse than the wave case in the singular noise of jump-type cases.

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